IT Infrastructure Engineer / Terraform / AWS / AI Cloud Product

San Jose, CA

4 days ago

Job Description

A top 10 AI company in the San Francisco Bay Area is seeking an IT Infrastructure Engineer to join their high-growth organization building and operating large-scale AI cloud infrastructure. The position focuses on designing, building, and scaling internal platforms, enterprise applications, and cloud-based infrastructure that support business operations across engineering, finance, go-to-market, and people teams.

This is an opportunity to leverage modern cloud platforms, Infrastructure as Code, automation tooling, and software-driven operations to deliver reliable, scalable, and secure systems that have a direct impact on the performance of mission-critical infrastructure supporting one of the fastest-growing sectors in technology. Successful candidates will work alongside engineers and business stakeholders to solve complex operational challenges, automate workflows, and build scalable systems that enable rapid growth while maintaining exceptional reliability and performance.

Required Skills & Experience

5+ years of experience in internal IT Infrastructure, Site Reliability Engineering, DevOps, or Platform Engineering
Strong experience designing, building, and supporting large-scale distributed systems for internal tools and application
Hands-on experience with public cloud platforms such as AWS, GCP, or Azure
Strong programming and automation skills using Python or Go
Experience with Infrastructure as Code tools such as Terraform

Desired Skills & Experience

Experience with configuration management and automation platforms including Ansible, Chef, or similar technologies
Strong understanding of system design, scalability, high availability, fault tolerance, and reliability engineering principles
Experience troubleshooting production systems, identifying root causes, and implementing long-term automation solutions
Familiarity with CI/CD pipelines, source control systems, and automated deployment practices
Experience with GitHub Actions or similar automation and workflow orchestration tools
Knowledge of monitoring, logging, observability, and incident response best practices

What You Will Be Doing
Tech Breakdown

Internal Cloud Infrastructure & Platform Engineering: 60%
Internal Reliability Engineering & Operations Automation: 20%
Internal Software Development & Automation: 10%
Internal Systems Architecture & Technical Planning: 10%

Daily Responsibilities

Design, build, and improve scalable internal systems and services
Develop automation to eliminate manual operational tasks and prevent recurring incidents
Improve system reliability, availability, scalability, and performance
Partner with engineering and business teams on architecture, integrations, and platform enhancements

The Offer

Generous cash and equity compensation package
Health, Dental, and Vision insurance
401(k) plan with company match
Flexible paid time off
Wellness stipend for eligible employees
Commuter benefits for eligible employees
Location: San Francisco, CA or San Jose, CA (Hybrid - 4 days onsite, 1 day remote)

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

Numbers & Facts

Location

San Jose, CA

Skills

Amazon Web Services (AWS)unmatched
Ansibleunmatched
Artificial Intelligence (AI)unmatched
Automationunmatched
Automation Systemsunmatched
Best Practicesunmatched
Business Architectureunmatched
Business Operationsunmatched
Business Supportunmatched
Chef (Configuration Management)unmatched
Cloud Applicationsunmatched
Cloud Computingunmatched
Computer Programmingunmatched
Configuration Managementunmatched
Continuous Deployment/Deliveryunmatched
Continuous Integrationunmatched
DevOpsunmatched
Distributed Computingunmatched
Enterprise Applicationsunmatched
Financeunmatched
GCP (Good Clinical Practices)unmatched
GitHubunmatched
High Availabilityunmatched
Identify Issuesunmatched
Incident Responseunmatched
Information Technology & Information Systemsunmatched
Large-Scale Systemsunmatched
Machine Toolunmatched
Microsoft Windows Azureunmatched
Operational Supportunmatched
Production Systemsunmatched
Public Cloudunmatched
Python Programming/Scripting Languageunmatched
Reliability Engineeringunmatched
Root Cause Analysisunmatched
Scalable System Developmentunmatched
Software Developmentunmatched
Software Engineeringunmatched
Source Code Control System (SCCS)unmatched
System Architectureunmatched
Systems Reliabilityunmatched
Systems Scalabilityunmatched

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